
Global technology leader in electrification and automation
Physical AI生态圈应用实习生 at ABB
About the role
At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This position reports to:
Sales Support Manager:
__
岗位职责:
协助整理目前physical AI国内外相关生态公司
生态公司目前的主要技术要点和方向
结合机器人在工业领域的应用,利用专业知识,分析生态公司技术路线与ABB机器人产品及应用的关联性
岗位要求:
在校本科及以上学历,计算机相关专业;
具备计算机语言,数据,算法等AI相关基础知识
有机器人相关行业知识体系更佳
英文读写能力流利
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.
Ready to make an impact?
Apply today or visit [
https: //www.abb.com](https://www.abb.com) to learn more about the impact of our solutions across the globe.
Required skills
AI fundamentals
Market research
Technical analysis
Data analysis
English communication
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About ABB

ABB
PublicABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.
10,001+
Employees
Zurich
Headquarters
$28.5B
Valuation
Reviews
10 reviews
3.4
10 reviews
Work-life balance
2.8
Compensation
4.0
Culture
4.2
Career
3.0
Management
2.5
65%
Recommend to a friend
Pros
Great team culture and supportive colleagues
Excellent benefits and competitive compensation
Professional development and training opportunities
Cons
Heavy workload and overwhelming demands
Frequent overtime and high-pressure environment
Poor management direction and leadership communication
Salary Ranges
405 data points
Mid/L4
Senior/L5
Mid/L4 · Project Manager
102 reports
$117,433
total per year
Base
$109,179
Stock
-
Bonus
$8,254
$79,130
$175,443
Interview experience
5 interviews
Difficulty
3.8
/ 5
Duration
14-28 weeks
Offer rate
20%
Experience
Positive 0%
Neutral 60%
Negative 40%
Interview process
1
Application Review
2
Phone Screen
3
Technical Interview
4
System Design/Panel Interview
5
Onsite/Final Round
6
Offer Decision
Common questions
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
Problem Solving
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